A New Formant Detection Algorithm Based on Cepstrum
Jin Bao He, Hong Chao Fan, Xin Hua Yi, Jia Fen Hu · Applied Mechanics and Materials · 2011
Formant frequency is one of important parameters for speech signal. This paper presents a new formant detection algorithm based on cepstrum. Firstly, the traditional speech formant method is discussed. To overcome the weakness of traditional method, an extraction method based on formant enhancement is described. Then, the first-order derivative of phase-frequency characteristics has better frequency resolution than logarithmic amplitude-frequency characteristics, so the first-order derivative of phase-frequency characteristics based on formant enhancement is proposed. Finally, the experimental results show that formants parameters can be extract more precisely.